Mohammad Mirzaie

Work place: Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran



Research Interests: Computational Science and Engineering, Artificial Intelligence, Engineering


Mohammad Mirzaie was born in Iran in 1975. He obtained B. Sc. and M. Sc. Degrees in Electrical Engineering from University of Shahid Chamran, Ahwaz, Iran and Iran University of Science and Technology, Tehran, Iran in 1997 and 2000 respectively and PhD Degree in Electrical Engineering from Iran University of Science and Technology in 2007. His research interests include high voltage engineering, intelligence networks for internal faults and studying of insulation systems in transformers, cables, generators, insulators, electrical motors.

Author Articles
Modelling and Detection of Turn-to-Turn Faults in Transformer Windings Using Finite Element Analysis and Instantaneous Exciting Currents Space Phasor Approach

By Malihe Abi Mohammad Mirzaie

DOI:, Pub. Date: 29 Dec. 2014

In this paper, a novel method based on online monitoring of Instantaneous Exciting Current Space Phasor is presented in order to detect inter-turn faults on the transformer windings. This approach detects winding faults by comparison between presentation of the Instantaneous Exciting Current Space Phasor under healthy and faulty condition. In this work, the angular speed of Instantaneous Exciting Current Space Phasor has been introduced as one of the fault detection tools that has good sensitivity for detection of minor inter-turn faults. Firstly, a typical transformer is simulated based on Finite Element Analysis (FEA) to investigate the transformer behavior under different conditions. Then, the accuracy and performance of proposed diagnosis technique are studied by applying it to the simulated transformer.

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